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best response

49 papers and 3 presentations; 52 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny You (Lea) Lyu source 10
PharmaSUG 2026 Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials Ceng Qian,
Xu Wen,
Wei Lei,
Ling Han
source 15
PharmaSUG 2025 Addressing early challenges in RWD data standardization for analysis and reporting of RWE studies Xingshu Zhu,
Li Ma,
Bo Zheng
source 9
PharmaSUG 2025 Efficacy Endpoints Related to CNS in Oncology Studies within ADaM Lihui Deng,
Kylie Fan
source 6
PharmaSUG 2025 Roadmap to Efficacy Analysis for Early Phase Oncology studies Dhruv Bansal,
Christiana Hawn,
Chris Kelly
source 23
PHUSE US 2025 Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management Jaime Yan source
presentation source
28
PHUSE EU 2024 Insights of Using {admiralonco} at BMS: Facilitating Oncology Efficacy ADaM Datasets Yirong Cao,
Yi Yan
source
presentation source
10
PharmaSUG CN 2024 Best Overall Response (BOR) Confirmation in Oncology Clinical Trials: Insights from RECIST 1.1 Jihai Li source 15
PharmaSUG 2024 ADaM Design for Prostate Cancer Efficacy Endpoints Based on PCWG3 Lihui Deng,
Kylie Fan,
Jia Li
source 10
PHUSE US 2024 A Step-by-Step Programming Approach to Summarize Best Response in Patients with Multiple Myeloma Who Had Positive and Negative MRD Test source
presentation source
8
PHUSE US 2024 Confirmation and Cancellation - Best Strategies for Data Collection and Handling within Solid Tumor Studies Using RECIST 1.1 and iRECIST Guidelines Sherry Ye,
Abraham Yeh
source
presentation source
10
WUSS 2023 Waterfall vis a vis Spider plots: Complex oncology efficacy endpoint made simpler. Yoganand Budumuru source 21
PharmaSUG 2023 ADaM Design and Programming Standardization for Oncology Efficacy Endpoints Based on RECIST 1.1 Ellen (Zihui) Lin,
Matt Ness,
Yinghui Wang
source 9
PharmaSUG 2023 Admiralonco - The Cross-Company R Package for Oncology Admirers Neharika Sharma,
Matthew Marino
source 25
PharmaSUG 2023 Confirmation of Best Overall Tumor Response in Oncology Clinical Trials per RECIST 1.1 Danyang Bing source 3
PharmaSUG 2023 Leverage and Enhance CDISC TAUGs to Build More Traceability for and Streamline Development of Efficacy ADaM in Oncology Studies Xiangchen (Bob) Cui source 29
PharmaSUG 2023 Sound SDTM, Sound ADaM - Orchestrating SDTM and ADaM Harmonization Nancy Brucken,
David Neubauer,
Soumya Rajesh
source 8
PharmaSUG 2022 A Dynamic Data Visualization Report for Efficacy Endpoints of Early Oncology Study Hong (Lily) Zhang,
Yixin Ren,
Huei-Ling Chen
source 10
PHUSE EU 2021 How Has the Immunotherapy Era Changed Response Criteria? [presentation] Anna Amosova source
video
30
PharmaSUG 2020 Butterfly Plot for Comparing Two Treatment Responses Raghava Pamulapati source 13
PharmaSUG 2020 Calculation of Cochran-Mantel-Haenszel Statistics for Objective Response and Clinical Benefit Rates and the Effects of Stratification Factors Girish Kankipati,
Chia-Ling (Ally) Wu
source 8
PharmaSUG 2020 Implementation of Immune Response Evaluation Criteria in Solid Tumors (iRECIST) in Efficacy Analysis of Oncology Studies Weiwei Guo source 6
PharmaSUG 2020 Oncology Graphs-Creation (Using SAS and R), Interpretation and QA Taniya Muliyil source 10
PharmaSUG 2020 Simplifying the Derivation of Best Overall Response per RECIST 1.1 and iRECIST in Solid Tumor Clinical Studies Xiangchen (Bob) Cui,
Sri Pavan Vemuri
source 24
SESUG 2019 Cutting Out the Middle Man - Bypassing ADaM to Calculate Tumor Response Inputs using RECIST 1.1 Guidelines and Collected Data in SDTM Format Response Inputs source 6
PharmaSUG 2019 Fine-tuning your swimmer plot: another example from oncology Steve Almond source 25
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PHUSE US 2019 Efficacy Endpoint Visualization of Investigational Products for Cancer Patients Using R Shiny Beverly Martinez,
Mukul K Mittal
source
presentation source
12
PHUSE EU 2018 Step-by-step Guide to Efficacy Analysis in Solid Tumors Oncology Clinical Trials Anastasiia Tiurdo source
presentation source
11
PharmaSUG 2018 Derivations of Response Status from SDTM Domains using RECIST 1.1 Christine S Teng,
Lei Pang
source 10
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li
source 12
PharmaSUG 2017 SAS Macro for Derivation of Best Overall Response per RECIST v. 1.1 Bob Zhong,
Jiangfan Li,
Hong Xie,
Peter De Porre,
Kenneth Maahs,
Kyounghwa Bae
source 9
MWSUG 2016 Defensive Coding by Example: Kick the Tires, Pump the Brakes, Check Your Blind Spots, and Merge Ahead! Nancy Brucken,
Donna E. Levy
16
PharmaSUG 2016 Deconstructing ADRS: Tumor Response Analysis Data Set Steve Almond source 11
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan
source 8
SGF 2016 Graphical Results in Clinical Oncology Studies Nora Ruel source 14
WUSS 2015 Graphical Results in Clinical Studies A focus on graphics used in oncology Nora Ruel,
Paul Frankel
source 12
PharmaSUG 2015 Defensive Coding by Example: Kick the Tires, Pump the Breaks, Check Your Blind Spots, and Merge Ahead! Nancy Brucken,
Donna E. Levy
source 16
PharmaSUG 2015 Two different use cases to obtain best responses using RECIST 1.1: SDTM and ADaM Kevin Lee,
Vikash Jain
source 17
SGF 2015 Defensive Coding by Example: Kick the Tires, Pump the Breaks, Check Your Blind Spots, and Merge Ahead! Donna E. Levy,
Nancy Brucken
source 17
PHUSE EU 2013 Overcoming Difficulties in Implementing RECIST Criteria Gerlind Ruhnke source
presentation source
6
PHUSE EU 2012 Study Protocol Flexibility vs Programming Standard Rigidity Samia Kabi source
poster source
7
MWSUG 2011 Objective tumor response and RECIST criteria in cancer clinical trials Jian Yu 6
PHUSE EU 2010 Theory U-Social Technology for Innovation Colin Brown source 5
PharmaSUG 2010 Application of Modular Programming in Clinical Trial Environment Mirjana Stojanovic 8
SESUG 2009 A Modular Approach to Develop Complex Data Errors Checking Program in Clinical Trial Environment Mirjana Stojanovic,
Laura E. Archer
source 7
MWSUG 2008 Creating Macros for Survival Data in Oncology Study Jagannath Ghosh 8
SUGI 2005 Standardization through Macros: The Possibilities of Using Indirect Referencing to Macro Variables Britta Kelsey source 8
SEUGI 2001 Sales Force Management Through Intranet [presentation] Anna Surova,
Jan Maly,
Jaroslav Kafka
source 21
SEUGI 2000 Implementing a Balanced Scorecard on top of SAP/RE-FI Using SAS CFO Vision as Interface [presentation] Ida R. Carapelle,
Sophie De Baets
source 42
SEUGI 1995 The PIL: An Alternative Approach to Forecasting System Load Peter Van Gils source 22
SEUGI 1993 BAVIS - the Badenia EIS Christian Horning source 8

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